Carlos Cetina

发表

Opportunities for software reuse in an uncertain world: From past to emerging trends

John Favaro, Barbara Gallina, Rafael Capilla, 2019, J. Softw. Evol. Process..

The consolidation of game software engineering: A systematic literature review of software engineering for industry-scale computer games

Jaime Font, C. Cetina, Francisca Pérez, 2023, Inf. Softw. Technol..

Comprehensibility of Variability in Model Fragments for Product Configuration

Oscar Pastor, Carlos Cetina, Francisca Pérez, 2016, CAiSE.

On the influence of architectural languages on requirements traceability

V. Pelechano, Lorena Arcega, C. Cetina, 2022, Softw. Pract. Exp..

An evolutionary approach for generating software models: The case of Kromaia in Game Software Engineering

Daniel Blasco, Jaime Font, Mar Zamorano, 2021, J. Syst. Softw..

A fine-grained requirement traceability evolutionary algorithm: Kromaia, a commercial video game case study

Oscar Pastor, Daniel Blasco, Carlos Cetina, 2020, Inf. Softw. Technol..

Evaluating the influence of scope on feature location

Oscar Pastor, Carlos Cetina, África Domingo, 2021, Inf. Softw. Technol..

Leveraging variability modeling to address metamodel revisions in Model-based Software Product Lines

Jaime Font, Carlos Cetina, Lorena Arcega, 2017, Comput. Lang. Syst. Struct..

Addressing metamodel revisions in model-based software product lines

Jaime Font, Carlos Cetina, Lorena Arcega, 2015, GPCE.

Automating the variability formalization of a model family by means of common variability language

Jaime Font, Carlos Cetina, Øystein Haugen, 2015, SPLC.

Building software product lines from conceptualized model patterns

Jaime Font, Carlos Cetina, Lorena Arcega, 2015, SPLC.

Autonomic Computing through Reuse of Variability Models at Runtime: The Case of Smart Homes

Vicente Pelechano, Carlos Cetina, Pau Giner, 2009, Computer.

Internet of things: where to be is to trust

Jaime Lloret, Guillermo Palacios Navarro, Raquel Lacuesta Gilaberte, 2012, EURASIP J. Wirel. Commun. Netw..

Improving Traceability Links Recovery in Process Models Through an Ontological Expansion of Requirements

Oscar Pastor, Carlos Cetina, Francisca Pérez, 2019, CAiSE.

On the Influence of Models-to-Natural-Language Transformation in Traceability Link Recovery among Requirements and Conceptual Models

Carlos Cetina, Francisca Pérez, Raúl Lapeña, 2017, ER Forum/Demos.

Evaluating the benefits of software product lines in game software engineering

Lorena Arcega, C. Cetina, Jose Ignacio Trasobares, 2022, SPLC.

How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration

C. Cetina, A. C. Marcén, Francisca Pérez, 2022, ACM Trans. Softw. Eng. Methodol..

Evaluating the benefits of empowering model‐driven development with a machine learning classifier

C. Cetina, Ó. Pastor, A. C. Marcén, 2022, Softw. Pract. Exp..

Leveraging BPMN particularities to improve traceability links recovery among requirements and BPMN models

Ó. Pastor, Francisca Pérez, Raúl Lapeña, 2021, Requirements Engineering.

Comparison of search strategies for feature location in software models

Jaime Font, Carlos Cetina, Francisca Pérez, 2021, J. Syst. Softw..

Enhancing software model encoding for feature location approaches based on machine learning techniques

Carlos Cetina, Francisca Pérez, Ana C. Marcén, 2021, Software and Systems Modeling.

An empirical study of performance using Clone & Own and Software Product Lines in an industrial context

Jose Ignacio Panach, Carlos Cetina, Francisca Pérez, 2021, Inf. Softw. Technol..

On the influence of model fragment properties on a machine learning-based approach for feature location

Vicente Pelechano, Carlos Cetina, Ana Cristina Marcén, 2021, Inf. Softw. Technol..

Comparing manual and automated feature location in conceptual models: A Controlled experiment

Carlos Cetina, Francisca Pérez, Jorge Echeverría, 2020, Inf. Softw. Technol..

Evaluating the Benefits of Model-Driven Development

Oscar Pastor, Carlos Cetina, África Domingo, 2020, CAiSE.

Traceability Link Recovery between Requirements and Models using an Evolutionary Algorithm Guided by a Learning to Rank Algorithm: Train control and management case

Oscar Pastor, Carlos Cetina, Raúl Lapeña, 2020, J. Syst. Softw..

Automatic query reformulations for feature location in a model-based family of software products

Jaime Font, Carlos Cetina, Lorena Arcega, 2018, Data Knowl. Eng..

Exploring New Directions in Traceability Link Recovery in Models: The Process Models Case

Oscar Pastor, Jaime Font, Carlos Cetina, 2018, CAiSE.

Ontological Evolutionary Encoding to Bridge Machine Learning and Conceptual Models: Approach and Industrial Evaluation

Carlos Cetina, Francisca Pérez, Ana Cristina Marcén, 2017, ER.

Analyzing the impact of natural language processing over feature location in models

Oscar Pastor, Jaime Font, Carlos Cetina, 2017, GPCE.

Introducing Collaboration for Locating Features in Models: Approach and Industrial Evaluation

Carlos Cetina, Francisca Pérez, Raúl Lapeña, 2017, OTM Conferences.

Towards Feature Location in Models through a Learning to Rank Approach

Oscar Pastor, Jaime Font, Carlos Cetina, 2017, SPLC.

Towards clone-and-own support: locating relevant methods in legacy products

Carlos Cetina, Manuel Ballarín, Raúl Lapeña, 2016, SPLC.

Evaluating Low-Cost in Internal Crowdsourcing for Software Engineering: The Case of Feature Location in an Industrial Environment

Carlos Cetina, Francisca Pérez, Ana C. Marcén, 2020, IEEE Access.